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Author

Saqib Qamar

Observed names: QAMAR, SAQIB, Qamar, Saqib, SAQIB QAMAR
Observed institutions: Aligarh Muslim University, Shenzhen University, Sohar University, Huazhong University of Science and Technology, KTH Royal Institute of Technology, Umeå University
ORCID: 0000-0002-5980-5976
Observed ORCID: 0000-0002-5980-5976
OpenAlex ID: A5074917822
A variant form of 3D-UNet for infant brain segmentation
2019 · Saqib Qamar, Hai Jin, et al. · Future Generation Computer Systems · 137
CT‐Based Automatic Spine Segmentation Using Patch‐Based Deep Learning
2023 · Syed Furqan Qadri, Hongxiang Lin, et al. · International Journal of Intelligent Systems · 99
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Techniques of Data Mining In Healthcare: A Review
2015 · Parvez Ahmad, Saqib Qamar, et al. · International Journal of Computer Applications · 93
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MH UNet: A Multi-Scale Hierarchical Based Architecture for Medical Image Segmentation
2021 · Parvez Ahmad, Hai Jin, et al. · IEEE Access · 61
Context Aware 3D UNet for Brain Tumor Segmentation
2021 · Parvez Ahmad, Saqib Qamar, et al. · Lecture notes in computer science · 60
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Dense Encoder-Decoder–Based Architecture for Skin Lesion Segmentation
2021 · Saqib Qamar, Parvez Ahmad, et al. · Cognitive Computation · 59
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation
2021 · Saqib Qamar, Parvez Ahmad, et al. · Lecture notes in computer science · 48
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A hybrid CNN-Random Forest algorithm for bacterial spore segmentation and classification in TEM images
2023 · Saqib Qamar, Rasmus Öberg, et al. · Scientific Reports · 32
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An Empirical Analysis of Artificial Intelligence (AI) as a Growth Engine for the Healthcare Sector
2022 · Vandana Whig, Bestoon Othman, et al. · International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) · 30
3D Hyper-Dense Connected Convolutional Neural Network for Brain Tumor Segmentation
2018 · Saqib Qamar, Hai Jin, et al. · International Conference on Semantics, Knowledge and Grid (SKG) · 21
RD2A: densely connected residual networks using ASPP for brain tumor segmentation
2021 · Parvez Ahmad, Hai Jin, et al. · Multimedia Tools and Applications · 20
Multi stream 3D hyper-densely connected network for multi modality isointense infant brain MRI segmentation
2019 · Saqib Qamar, Hai Jin, et al. · Multimedia Tools and Applications · 20
ScaleFusionNet: transformer-guided multi-scale feature fusion for skin lesion segmentation
2025 · Saqib Qamar, Syed Furqan Qadri, et al. · Scientific Reports · 18
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Hybrid Labels for Brain Tumor Segmentation
2020 · Parvez Ahmad, Saqib Qamar, et al. · Lecture notes in computer science · 18
MS UNet: Multi-scale 3D UNet for Brain Tumor Segmentation
2022 · Parvez Ahmad, Saqib Qamar, et al. · Lecture notes in computer science · 17
Segmentation and characterization of macerated fibers and vessels using deep learning
2024 · Saqib Qamar, Abu Imran Baba, et al. · Plant Methods · 14
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A Resource-Efficient Approach to Fine-Tuning a BERT-Base Model for Sentiment Analysis
2026 · Abdullah M. Basahel, Shreyanth H. Giriyappa, et al. · Computers · 11
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REMOVED: Equipping recurrent neural network with CNN-style attention mechanisms for sentiment analysis of network reviews
2019 · Mohd Usama, Belal Ahmad, et al. · Computer Communications · 11
Emotion Detection from Text using Fuzzy Logic
2015 · Saqib Qamar, Parvez Ahmad · International Journal of Computer Applications · 9
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UNet with self-adaptive Mamba-like attention and causal-resonance learning for medical image segmentation
2025 · Saqib Qamar, Mohd Fazil, et al. · Scientific Reports · 7
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3D Dense Dilated Hierarchical Architecture for Brain Tumor Segmentation
2019 · Parvez Ahmad, Hai Jin, et al. · International Conference on Big Data and Computing (ICBDC) · 7
Hybrid loss guided densely connected convolutional neural network for Ischemic Stroke Lesion segmentation
2019 · Saqib Qamar, Hai Jin, et al. · IEEE International Conference for Convergence in Technology (I2CT) · 6
Confidence-Weighted Semi-Supervised Learning for Skin Lesion Segmentation Using Hybrid CNN-Transformer Networks
2026 · Saqib Qamar, Mumin Alkhatarishi, et al. · IEEE Access · 3
Attention-driven UNet enhancement for accurate segmentation of bacterial spore outgrowth in microscopy images
2025 · Saqib Qamar, Dmitry Malyshev, et al. · Scientific Reports · 3
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Combined 3D CNN for Brain Tumor Segmentation
2020 · Parvez Ahmad, Hai Jin, et al. · IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR) · 3
Works count: 50
Citation count: 814
H-index: 15
I10-index: 18
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